Telikepalli Kavitha

1.8k total citations
56 papers, 581 citations indexed

About

Telikepalli Kavitha is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Telikepalli Kavitha has authored 56 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Theory and Mathematics, 33 papers in Economics and Econometrics and 14 papers in Management Science and Operations Research. Recurrent topics in Telikepalli Kavitha's work include Complexity and Algorithms in Graphs (36 papers), Game Theory and Voting Systems (33 papers) and Advanced Graph Theory Research (28 papers). Telikepalli Kavitha is often cited by papers focused on Complexity and Algorithms in Graphs (36 papers), Game Theory and Voting Systems (33 papers) and Advanced Graph Theory Research (28 papers). Telikepalli Kavitha collaborates with scholars based in India, Germany and United States. Telikepalli Kavitha's co-authors include Kurt Mehlhorn, Robert W. Irving, Chien‐Chung Huang, David Abraham, Dimitrios Michail, Meghana Nasre, Julián Mestre, Ramesh Hariharan, Debmalya Panigrahi and L. Sunil Chandran and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Telikepalli Kavitha

51 papers receiving 546 citations

Peers

Telikepalli Kavitha
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 356
  • Economics and Econometrics 293
  • Management Science and Operations Research 186
  • Computer Networks and Communications 150
  • Artificial Intelligence 110
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Citations per field, relative to Telikepalli Kavitha
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Citations per year, relative to Telikepalli Kavitha
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Countries citing papers authored by Telikepalli Kavitha

Since Specialization
Citations

This map shows the geographic impact of Telikepalli Kavitha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Telikepalli Kavitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Telikepalli Kavitha more than expected).

Fields of papers citing papers by Telikepalli Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Telikepalli Kavitha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Telikepalli Kavitha. The network helps show where Telikepalli Kavitha may publish in the future.

Co-authorship network of co-authors of Telikepalli Kavitha

This figure shows the co-authorship network connecting the top 25 collaborators of Telikepalli Kavitha. A scholar is included among the top collaborators of Telikepalli Kavitha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Telikepalli Kavitha. Telikepalli Kavitha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 1
4 0
5 2
6 24
7 3
8 5
9 5
10 3
11 55
12 3
13 17
14 13
15 4
16 21
17 47
18 18
19
New Constructions of (alpha, beta)-Spanners and Purely Additive Spanners
3
20 5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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